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Machine Learning for Cyber Physical Systems

Overview of attention for book
Cover of 'Machine Learning for Cyber Physical Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control
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    Chapter 2 Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks
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    Chapter 3 Forecasting Cellular Connectivity for Cyber-Physical Systems: A Machine Learning Approach
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    Chapter 4 Towards Optimized Machine Operations by Cloud Integrated Condition Estimation
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    Chapter 5 Prognostics Health Management System based on Hybrid Model to Predict Failures of a Planetary Gear Transmission
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    Chapter 6 Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases
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    Chapter 7 Towards a novel learning assistant for networked automation systems
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    Chapter 8 Efficient Image Processing System for an Industrial Machine Learning Task
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    Chapter 9 Efficient engineering in special purpose machinery through automated control code synthesis based on a functional categorisation
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    Chapter 10 Kognitive Architektur zum Konzeptlernen in technischen Systemen
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    Chapter 11 Implementation and Comparison of Cluster-Based PSO Extensions in Hybrid Settings with Efficient Approximation
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    Chapter 12 Machine-specific Approach for Automatic Classification of Cutting Process Efficiency
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    Chapter 13 Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems
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    Chapter 14 Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems
Attention for Chapter 8: Efficient Image Processing System for an Industrial Machine Learning Task
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Citations

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Chapter title
Efficient Image Processing System for an Industrial Machine Learning Task
Chapter number 8
Book title
Machine Learning for Cyber Physical Systems
Published by
Springer Vieweg, Berlin, Heidelberg, January 2016
DOI 10.1007/978-3-662-48838-6_8
Book ISBNs
978-3-66-248836-2, 978-3-66-248838-6
Authors

Kristijan Vukovic, Kristina Simonis, Helene Dörksen, Volker Lohweg, Vukovic, Kristijan, Simonis, Kristina, Dörksen, Helene, Lohweg, Volker

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Engineering 2 100%

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